A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Decoding individual differences in STEM learning from functional MRI data
2019
Nature Communications
Traditional tests of concept knowledge generate scores to assess how well a learner understands a concept. Here, we investigated whether patterns of brain activity collected during a concept knowledge task could be used to compute a neural 'score' to complement traditional scores of an individual's conceptual understanding. Using a novel data-driven multivariate neuroimaging approach-informational network analysis-we successfully derived a neural score from patterns of activity across the brain
doi:10.1038/s41467-019-10053-y
pmid:31048694
pmcid:PMC6497647
fatcat:a6xgen5enbeybgxeyw7c33askm